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2 Days ago

Cloud AI & Data Engineer

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1500000 - 2000000 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Full-Time
Kiash Solutions LLP

Overview


About the job:

Exp -6-10 Years
Mandatory skills- Cloud Computing , Artificial Intelligence , Python
Location- Bangalore (Hybrid)

Job Description-
We are looking for an experienced Cloud AI and Data Engineer with a strong background in cloud-native data solutions, AI/ML engineering, and emerging Generative AI (GenAI) technologies. The ideal candidate will have 68 years of hands-on experience in building robust data platforms, deploying scalable ML models, and integrating GenAI solutions across cloud environments.

Roles & Responsibilities:
Build and maintain scalable data pipelines and infrastructure for AI and analytics using cloud-native tools (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure OpenAI, or Google Vertex AI
Develop and deploy AI/ML models including transformer-based and LLM (Large Language Model) solutions
Integrate GenAI with enterprise workflows using APIs, orchestration layers, and retrieval-augmented generation (RAG) patterns
Collaborate with data scientists, product managers, and platform teams to operationalize AI-driven insights and GenAI capabilities
Build prompt engineering frameworks, evaluate output quality, and optimize token usage and latency for GenAI deployments
Set up monitoring, drift detection, and governance mechanisms for both traditional and GenAI models
Implement CI/CD pipelines for data and AI solutions with automated testing and rollback strategies
Ensure cloud solutions adhere to data privacy, security, and regulatory compliance standards
Project Details:- Cloud Platform managing GenAI and data services
Project Duration:- 1 year

Who can apply:

    Only those candidates can apply who:

  1. have minimum 6 years of experience
  2. are Computer Science Engineering students


Salary:

₹ 15,00,000 - 20,00,000 /year

Experience:

6 year(s)

Deadline:

2025-11-04 23:59:59

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